Roivant Sciences (ROIV) Total Liabilities (2021 - 2026)
Roivant Sciences' Total Liabilities was $384.62 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 77.5% from $216.7 million a year earlier but down 7.6% from the prior quarter.
Roivant Sciences (ROIV) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Roivant Sciences came in at $416.28 million, up 66.7% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $249.74 million in FY2025 (-67.7%), $773.95 million in FY2024 (-1.0%), $782.02 million in FY2023 (+43.2%) and $546.19 million in FY2022 (-0.7%).
- Quarterly Total Liabilities has moved between $216.7 million (fiscal Q1 2026) and $845.01 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 16.1%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2027 (growth of 77.5%); the worst was fiscal Q4 2025 (a decline of 67.7%).
- Per Business Quant data, ROIV's Total Liabilities in the three fiscal quarters before Q1 2027 was $416.28 million (Q4 2026), $251.14 million (Q3 2026) and $257.14 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Roivant Sciences | 26.72 Bn | 27.41 Bn | 1.16 Mn | 384.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.62 Mn |
| Mar 31, 2026 | 416.28 Mn |
| Dec 31, 2025 | 251.14 Mn |
| Sep 30, 2025 | 257.14 Mn |
| Jun 30, 2025 | 216.70 Mn |
| Mar 31, 2025 | 249.74 Mn |
| Dec 31, 2024 | 256.38 Mn |
| Sep 30, 2024 | 625.99 Mn |
| Jun 30, 2024 | 601.16 Mn |
| Mar 31, 2024 | 773.95 Mn |
| Dec 31, 2023 | 728.10 Mn |
| Sep 30, 2023 | 739.91 Mn |
| Jun 30, 2023 | 802.51 Mn |
| Mar 31, 2023 | 782.02 Mn |
| Dec 31, 2022 | 775.82 Mn |
| Sep 30, 2022 | 701.39 Mn |
| Jun 30, 2022 | 845.01 Mn |
| Mar 31, 2022 | 546.19 Mn |
| Dec 31, 2021 | 552.11 Mn |
| Sep 30, 2021 | 674.50 Mn |
Roivant Sciences Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=ROIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ROIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=ROIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();